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<li class="navelem"><a class="el" href="dir_6b3ae6988449b0834e9596fad5d75199.html">gpu</a></li><li class="navelem"><a class="el" href="dir_49d1182a3b8dfb62757c53ae905481ad.html">impl</a></li>  </ul>
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<div class="title">Distance.cu</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * All rights reserved.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * This source code is licensed under the BSD+Patents license found in the</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;Distance.cuh&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;BroadcastSum.cuh&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;L2Norm.cuh&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;L2Select.cuh&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &quot;../../FaissAssert.h&quot;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &quot;../GpuResources.h&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &quot;../utils/DeviceUtils.h&quot;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &quot;../utils/Limits.cuh&quot;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &quot;../utils/MatrixMult.cuh&quot;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &quot;../utils/BlockSelectKernel.cuh&quot;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="preprocessor">#include &lt;thrust/fill.h&gt;</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &lt;thrust/for_each.h&gt;</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &lt;thrust/device_ptr.h&gt;</span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &lt;thrust/execution_policy.h&gt;</span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;Tensor&lt;T, 2, true&gt; sliceCentroids(Tensor&lt;T, 2, true&gt;&amp; centroids,</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;                                  Tensor&lt;T, 2, true&gt;* centroidsTransposed,</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;                                  <span class="keywordtype">int</span> startCentroid,</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;                                  <span class="keywordtype">int</span> num) {</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;  <span class="keywordflow">if</span> (startCentroid == 0 &amp;&amp; num == centroids.getSize(0)) {</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <span class="keywordflow">if</span> (centroidsTransposed) {</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;      <span class="keywordflow">return</span> *centroidsTransposed;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;      <span class="keywordflow">return</span> centroids;</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    }</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;  }</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;  <span class="keywordflow">if</span> (centroidsTransposed) {</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="comment">// (dim, num)</span></div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keywordflow">return</span> centroidsTransposed-&gt;narrow(1, startCentroid, num);</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keywordflow">return</span> centroids.narrow(0, startCentroid, num);</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;  }</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;}</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="comment">// For each chunk of k indices, increment the index by chunk * increment</span></div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;__global__ <span class="keywordtype">void</span> incrementIndex(Tensor&lt;T, 2, true&gt; indices,</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                               <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                               <span class="keywordtype">int</span> increment) {</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = threadIdx.x; i &lt; k; i += blockDim.x) {</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    indices[blockIdx.y][blockIdx.x * k + i] += blockIdx.x * increment;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  }</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;}</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="comment">// Used to update result indices in distance computation where the number of</span></div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="comment">// centroids is high, and is tiled</span></div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="keywordtype">void</span> runIncrementIndex(Tensor&lt;T, 2, true&gt;&amp; indices,</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                       <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;                       <span class="keywordtype">int</span> increment,</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                       cudaStream_t stream) {</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  dim3 grid(indices.getSize(1) / k, indices.getSize(0));</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;  <span class="keywordtype">int</span> block = std::min(k, 512);</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;  <span class="comment">// should be exact</span></div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;  FAISS_ASSERT(grid.x * k == indices.getSize(1));</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;  incrementIndex&lt;&lt;&lt;grid, block, 0, stream&gt;&gt;&gt;(indices, k, increment);</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;  cudaDeviceSynchronize();</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;}</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="comment">// If the inner size (dim) of the vectors is small, we want a larger query tile</span></div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="comment">// size, like 1024</span></div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="keywordtype">void</span> chooseTileSize(<span class="keywordtype">int</span> numQueries,</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                    <span class="keywordtype">int</span> numCentroids,</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                    <span class="keywordtype">int</span> dim,</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                    <span class="keywordtype">int</span> elementSize,</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                    <span class="keywordtype">size_t</span> tempMemAvailable,</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                    <span class="keywordtype">int</span>&amp; tileRows,</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                    <span class="keywordtype">int</span>&amp; tileCols) {</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  <span class="comment">// The matrix multiplication should be large enough to be efficient, but if it</span></div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="comment">// is too large, we seem to lose efficiency as opposed to double-streaming.</span></div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;  <span class="comment">// Each tile size here defines 1/2 of the memory use due to double streaming.</span></div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;  <span class="comment">// We ignore available temporary memory, as that is adjusted independently by</span></div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  <span class="comment">// the user and can thus meet these requirements (or not).</span></div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;  <span class="comment">// For &lt;= 4 GB GPUs, prefer 512 MB of usage.</span></div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;  <span class="comment">// For &lt;= 8 GB GPUs, prefer 768 MB of usage.</span></div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  <span class="comment">// Otherwise, prefer 1 GB of usage.</span></div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  <span class="keyword">auto</span> totalMem = getCurrentDeviceProperties().totalGlobalMem;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keywordtype">int</span> targetUsage = 0;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  <span class="keywordflow">if</span> (totalMem &lt;= ((<span class="keywordtype">size_t</span>) 4) * 1024 * 1024 * 1024) {</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    targetUsage = 512 * 1024 * 1024;</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (totalMem &lt;= ((<span class="keywordtype">size_t</span>) 8) * 1024 * 1024 * 1024) {</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    targetUsage = 768 * 1024 * 1024;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    targetUsage = 1024 * 1024 * 1024;</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  }</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  targetUsage /= 2 * elementSize;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;  <span class="comment">// 512 seems to be a batch size sweetspot for float32.</span></div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  <span class="comment">// If we are on float16, increase to 512.</span></div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;  <span class="comment">// If the k size (vec dim) of the matrix multiplication is small (&lt;= 32),</span></div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  <span class="comment">// increase to 1024.</span></div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;  <span class="keywordtype">int</span> preferredTileRows = 512;</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;  <span class="keywordflow">if</span> (dim &lt;= 32) {</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    preferredTileRows = 1024;</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;  }</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;  tileRows = std::min(preferredTileRows, numQueries);</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <span class="comment">// tileCols is the remainder size</span></div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;  tileCols = std::min(targetUsage / preferredTileRows, numCentroids);</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;}</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;}</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="keywordtype">void</span> runDistance(<span class="keywordtype">bool</span> computeL2,</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                 GpuResources* resources,</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;                 Tensor&lt;T, 2, true&gt;&amp; centroids,</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;                 Tensor&lt;T, 2, true&gt;* centroidsTransposed,</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;                 Tensor&lt;T, 1, true&gt;* centroidNorms,</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                 Tensor&lt;T, 2, true&gt;&amp; queries,</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;                 <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;                 Tensor&lt;T, 2, true&gt;&amp; outDistances,</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                 Tensor&lt;int, 2, true&gt;&amp; outIndices,</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;                 <span class="keywordtype">bool</span> useHgemm,</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;                 <span class="keywordtype">bool</span> ignoreOutDistances) {</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  FAISS_ASSERT(outDistances.getSize(0) == queries.getSize(0));</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  FAISS_ASSERT(outIndices.getSize(0) == queries.getSize(0));</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;  FAISS_ASSERT(outDistances.getSize(1) == k);</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;  FAISS_ASSERT(outIndices.getSize(1) == k);</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  <span class="keyword">auto</span>&amp; mem = resources-&gt;getMemoryManagerCurrentDevice();</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;  <span class="keyword">auto</span> defaultStream = resources-&gt;getDefaultStreamCurrentDevice();</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  <span class="comment">// If we&#39;re quering against a 0 sized set, just return empty results</span></div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  <span class="keywordflow">if</span> (centroids.numElements() == 0) {</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    thrust::fill(thrust::cuda::par.on(defaultStream),</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;                 outDistances.data(), outDistances.end(),</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;                 Limits&lt;T&gt;::getMax());</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    thrust::fill(thrust::cuda::par.on(defaultStream),</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;                 outIndices.data(), outIndices.end(),</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;                 -1);</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  }</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  <span class="comment">// L2: If ||c||^2 is not pre-computed, calculate it</span></div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;  DeviceTensor&lt;T, 1, true&gt; cNorms;</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  <span class="keywordflow">if</span> (computeL2 &amp;&amp; !centroidNorms) {</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    cNorms = std::move(DeviceTensor&lt;T, 1, true&gt;(</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;                       mem,</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;                       {centroids.getSize(0)}, defaultStream));</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    runL2Norm(centroids, cNorms, <span class="keyword">true</span>, defaultStream);</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    centroidNorms = &amp;cNorms;</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;  }</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  <span class="comment">// Prepare norm vector ||q||^2; ||c||^2 is already pre-computed</span></div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;  <span class="keywordtype">int</span> qNormSize[1] = {queries.getSize(0)};</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  DeviceTensor&lt;T, 1, true&gt; queryNorms(mem, qNormSize, defaultStream);</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;  <span class="comment">// ||q||^2</span></div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;  <span class="keywordflow">if</span> (computeL2) {</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    runL2Norm(queries, queryNorms, <span class="keyword">true</span>, defaultStream);</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  }</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  <span class="comment">// By default, aim to use up to 512 MB of memory for the processing, with both</span></div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;  <span class="comment">// number of queries and number of centroids being at least 512.</span></div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;  <span class="keywordtype">int</span> tileRows = 0;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  <span class="keywordtype">int</span> tileCols = 0;</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  chooseTileSize(queries.getSize(0),</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;                 centroids.getSize(0),</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;                 queries.getSize(1),</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;                 <span class="keyword">sizeof</span>(T),</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;                 mem.getSizeAvailable(),</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;                 tileRows,</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;                 tileCols);</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;  <span class="keywordtype">int</span> numColTiles = utils::divUp(centroids.getSize(0), tileCols);</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;  FAISS_ASSERT(k &lt;= centroids.getSize(0));</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;  FAISS_ASSERT(k &lt;= 1024); <span class="comment">// select limitation</span></div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;  <span class="comment">// Temporary output memory space we&#39;ll use</span></div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;  DeviceTensor&lt;T, 2, true&gt; distanceBuf1(</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    mem, {tileRows, tileCols}, defaultStream);</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;  DeviceTensor&lt;T, 2, true&gt; distanceBuf2(</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    mem, {tileRows, tileCols}, defaultStream);</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  DeviceTensor&lt;T, 2, true&gt;* distanceBufs[2] =</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    {&amp;distanceBuf1, &amp;distanceBuf2};</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  DeviceTensor&lt;T, 2, true&gt; outDistanceBuf1(</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    mem, {tileRows, numColTiles * k}, defaultStream);</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  DeviceTensor&lt;T, 2, true&gt; outDistanceBuf2(</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    mem, {tileRows, numColTiles * k}, defaultStream);</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;  DeviceTensor&lt;T, 2, true&gt;* outDistanceBufs[2] =</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    {&amp;outDistanceBuf1, &amp;outDistanceBuf2};</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;  DeviceTensor&lt;int, 2, true&gt; outIndexBuf1(</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    mem, {tileRows, numColTiles * k}, defaultStream);</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  DeviceTensor&lt;int, 2, true&gt; outIndexBuf2(</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    mem, {tileRows, numColTiles * k}, defaultStream);</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;  DeviceTensor&lt;int, 2, true&gt;* outIndexBufs[2] =</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    {&amp;outIndexBuf1, &amp;outIndexBuf2};</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;  <span class="keyword">auto</span> streams = resources-&gt;getAlternateStreamsCurrentDevice();</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  streamWait(streams, {defaultStream});</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;  <span class="keywordtype">int</span> curStream = 0;</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;  <span class="comment">// Tile over the input queries</span></div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; queries.getSize(0); i += tileRows) {</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    <span class="keywordtype">int</span> curQuerySize = std::min(tileRows, queries.getSize(0) - i);</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    <span class="keyword">auto</span> outDistanceView =</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;      outDistances.narrow(0, i, curQuerySize);</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <span class="keyword">auto</span> outIndexView =</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;      outIndices.narrow(0, i, curQuerySize);</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    <span class="keyword">auto</span> queryView =</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;      queries.narrow(0, i, curQuerySize);</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keyword">auto</span> queryNormNiew =</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;      queryNorms.narrow(0, i, curQuerySize);</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    <span class="keyword">auto</span> outDistanceBufRowView =</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;      outDistanceBufs[curStream]-&gt;narrow(0, 0, curQuerySize);</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    <span class="keyword">auto</span> outIndexBufRowView =</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;      outIndexBufs[curStream]-&gt;narrow(0, 0, curQuerySize);</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    <span class="comment">// Tile over the centroids</span></div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; centroids.getSize(0); j += tileCols) {</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;      <span class="keywordtype">int</span> curCentroidSize = std::min(tileCols, centroids.getSize(0) - j);</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;      <span class="keywordtype">int</span> curColTile = j / tileCols;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;      <span class="keyword">auto</span> centroidsView =</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;        sliceCentroids(centroids, centroidsTransposed, j, curCentroidSize);</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;      <span class="keyword">auto</span> distanceBufView = distanceBufs[curStream]-&gt;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        narrow(0, 0, curQuerySize).narrow(1, 0, curCentroidSize);</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;      <span class="keyword">auto</span> outDistanceBufColView =</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;        outDistanceBufRowView.narrow(1, k * curColTile, k);</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;      <span class="keyword">auto</span> outIndexBufColView =</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        outIndexBufRowView.narrow(1, k * curColTile, k);</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;      <span class="comment">// L2: distance is ||c||^2 - 2qc + ||q||^2, we compute -2qc</span></div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;      <span class="comment">// IP: just compute qc</span></div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;      <span class="comment">// (query id x dim) x (centroid id, dim)&#39; = (query id, centroid id)</span></div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;      runMatrixMult(distanceBufView, <span class="keyword">false</span>,</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;                    queryView, <span class="keyword">false</span>,</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;                    centroidsView,</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;                    centroidsTransposed ? <span class="keyword">false</span> : <span class="keyword">true</span>,</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;                    computeL2 ? -2.0f : 1.0f, 0.0f, useHgemm,</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;                    resources-&gt;getBlasHandleCurrentDevice(),</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;                    streams[curStream]);</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;      <span class="keywordflow">if</span> (computeL2) {</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;        <span class="comment">// For L2 distance, we use this fused kernel that performs both</span></div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;        <span class="comment">// adding ||c||^2 to -2qc and k-selection, so we only need two</span></div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;        <span class="comment">// passes (one write by the gemm, one read here) over the huge</span></div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;        <span class="comment">// region of output memory</span></div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;        <span class="comment">//</span></div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;        <span class="comment">// If we aren&#39;t tiling along the number of centroids, we can perform the</span></div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;        <span class="comment">// output work directly</span></div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        <span class="keywordflow">if</span> (tileCols == centroids.getSize(0)) {</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;          <span class="comment">// Write into the final output</span></div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;          runL2SelectMin(distanceBufView,</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;                         *centroidNorms,</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;                         outDistanceView,</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;                         outIndexView,</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;                         k,</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;                         streams[curStream]);</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;          <span class="keywordflow">if</span> (!ignoreOutDistances) {</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;            <span class="comment">// expand (query id) to (query id, k) by duplicating along rows</span></div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;            <span class="comment">// top-k ||c||^2 - 2qc + ||q||^2 in the form (query id, k)</span></div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;            runSumAlongRows(queryNormNiew, outDistanceView, streams[curStream]);</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;          }</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;        } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;          <span class="keyword">auto</span> centroidNormsView =</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;            centroidNorms-&gt;narrow(0, j, curCentroidSize);</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;          <span class="comment">// Write into our intermediate output</span></div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;          runL2SelectMin(distanceBufView,</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;                         centroidNormsView,</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;                         outDistanceBufColView,</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;                         outIndexBufColView,</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;                         k,</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;                         streams[curStream]);</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;          <span class="keywordflow">if</span> (!ignoreOutDistances) {</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;            <span class="comment">// expand (query id) to (query id, k) by duplicating along rows</span></div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;            <span class="comment">// top-k ||c||^2 - 2qc + ||q||^2 in the form (query id, k)</span></div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;            runSumAlongRows(queryNormNiew,</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;                            outDistanceBufColView,</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;                            streams[curStream]);</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;          }</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;        }</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;      } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        <span class="comment">// For IP, just k-select the output for this tile</span></div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;        <span class="keywordflow">if</span> (tileCols == centroids.getSize(0)) {</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;          <span class="comment">// Write into the final output</span></div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;          runBlockSelect(distanceBufView,</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;                         outDistanceView,</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;                         outIndexView,</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;                         <span class="keyword">true</span>, k, streams[curStream]);</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;        } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;          <span class="comment">// Write into the intermediate output</span></div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;          runBlockSelect(distanceBufView,</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;                         outDistanceBufColView,</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;                         outIndexBufColView,</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;                         <span class="keyword">true</span>, k, streams[curStream]);</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;        }</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;      }</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;    }</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    <span class="comment">// As we&#39;re finished with processing a full set of centroids, perform the</span></div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    <span class="comment">// final k-selection</span></div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    <span class="keywordflow">if</span> (tileCols != centroids.getSize(0)) {</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;      <span class="comment">// The indices are tile-relative; for each tile of k, we need to add</span></div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;      <span class="comment">// tileCols to the index</span></div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;      runIncrementIndex(outIndexBufRowView, k, tileCols, streams[curStream]);</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;      runBlockSelectPair(outDistanceBufRowView,</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;                         outIndexBufRowView,</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;                         outDistanceView,</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;                         outIndexView,</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;                         computeL2 ? <span class="keyword">false</span> : <span class="keyword">true</span>, k, streams[curStream]);</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    }</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;</div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;    curStream = (curStream + 1) % 2;</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  }</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;  <span class="comment">// Have the desired ordering stream wait on the multi-stream</span></div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;  streamWait({defaultStream}, streams);</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;}</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;<span class="keywordtype">void</span> runL2Distance(GpuResources* resources,</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;                   Tensor&lt;T, 2, true&gt;&amp; centroids,</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;                   Tensor&lt;T, 2, true&gt;* centroidsTransposed,</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;                   Tensor&lt;T, 1, true&gt;* centroidNorms,</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;                   Tensor&lt;T, 2, true&gt;&amp; queries,</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;                   <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;                   Tensor&lt;T, 2, true&gt;&amp; outDistances,</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;                   Tensor&lt;int, 2, true&gt;&amp; outIndices,</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;                   <span class="keywordtype">bool</span> useHgemm,</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;                   <span class="keywordtype">bool</span> ignoreOutDistances = <span class="keyword">false</span>) {</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;  runDistance&lt;T&gt;(<span class="keyword">true</span>, <span class="comment">// L2</span></div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;                 resources,</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;                 centroids,</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;                 centroidsTransposed,</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;                 centroidNorms,</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;                 queries,</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;                 k,</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;                 outDistances,</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;                 outIndices,</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;                 useHgemm,</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;                 ignoreOutDistances);</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;}</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;<span class="keywordtype">void</span> runIPDistance(GpuResources* resources,</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;                   Tensor&lt;T, 2, true&gt;&amp; centroids,</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;                   Tensor&lt;T, 2, true&gt;* centroidsTransposed,</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;                   Tensor&lt;T, 2, true&gt;&amp; queries,</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;                   <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;                   Tensor&lt;T, 2, true&gt;&amp; outDistances,</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;                   Tensor&lt;int, 2, true&gt;&amp; outIndices,</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;                   <span class="keywordtype">bool</span> useHgemm) {</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;  runDistance&lt;T&gt;(<span class="keyword">false</span>, <span class="comment">// IP</span></div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;                 resources,</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;                 centroids,</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;                 centroidsTransposed,</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;                 <span class="keyword">nullptr</span>,</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;                 queries,</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;                 k,</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;                 outDistances,</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;                 outIndices,</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;                 useHgemm,</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;                 <span class="keyword">false</span>);</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;}</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;<span class="comment">// Instantiations of the distance templates</span></div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;runIPDistance(GpuResources* resources,</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;              Tensor&lt;float, 2, true&gt;&amp; vectors,</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;              Tensor&lt;float, 2, true&gt;* vectorsTransposed,</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;              Tensor&lt;float, 2, true&gt;&amp; queries,</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;              <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;              Tensor&lt;float, 2, true&gt;&amp; outDistances,</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;              Tensor&lt;int, 2, true&gt;&amp; outIndices) {</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;  runIPDistance&lt;float&gt;(resources,</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;                       vectors,</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;                       vectorsTransposed,</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;                       queries,</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;                       k,</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;                       outDistances,</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;                       outIndices,</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;                       <span class="keyword">false</span>);</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;}</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;<span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;<span class="preprocessor"></span><span class="keywordtype">void</span></div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;runIPDistance(GpuResources* resources,</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;              Tensor&lt;half, 2, true&gt;&amp; vectors,</div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;              Tensor&lt;half, 2, true&gt;* vectorsTransposed,</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;              Tensor&lt;half, 2, true&gt;&amp; queries,</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;              <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;              Tensor&lt;half, 2, true&gt;&amp; outDistances,</div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;              Tensor&lt;int, 2, true&gt;&amp; outIndices,</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;              <span class="keywordtype">bool</span> useHgemm) {</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;  runIPDistance&lt;half&gt;(resources,</div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;                      vectors,</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;                      vectorsTransposed,</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;                      queries,</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;                      k,</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;                      outDistances,</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;                      outIndices,</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;                      useHgemm);</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;}</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;runL2Distance(GpuResources* resources,</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;              Tensor&lt;float, 2, true&gt;&amp; vectors,</div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;              Tensor&lt;float, 2, true&gt;* vectorsTransposed,</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;              Tensor&lt;float, 1, true&gt;* vectorNorms,</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;              Tensor&lt;float, 2, true&gt;&amp; queries,</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;              <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;              Tensor&lt;float, 2, true&gt;&amp; outDistances,</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;              Tensor&lt;int, 2, true&gt;&amp; outIndices,</div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;              <span class="keywordtype">bool</span> ignoreOutDistances) {</div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;  runL2Distance&lt;float&gt;(resources,</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;                       vectors,</div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;                       vectorsTransposed,</div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;                       vectorNorms,</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;                       queries,</div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;                       k,</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;                       outDistances,</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;                       outIndices,</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;                       <span class="keyword">false</span>,</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;                       ignoreOutDistances);</div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;}</div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;</div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;<span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;<span class="preprocessor"></span><span class="keywordtype">void</span></div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;runL2Distance(GpuResources* resources,</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;              Tensor&lt;half, 2, true&gt;&amp; vectors,</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;              Tensor&lt;half, 2, true&gt;* vectorsTransposed,</div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;              Tensor&lt;half, 1, true&gt;* vectorNorms,</div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;              Tensor&lt;half, 2, true&gt;&amp; queries,</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;              <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;              Tensor&lt;half, 2, true&gt;&amp; outDistances,</div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;              Tensor&lt;int, 2, true&gt;&amp; outIndices,</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;              <span class="keywordtype">bool</span> useHgemm,</div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;              <span class="keywordtype">bool</span> ignoreOutDistances) {</div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;  runL2Distance&lt;half&gt;(resources,</div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;                      vectors,</div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;                      vectorsTransposed,</div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;                      vectorNorms,</div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;                      queries,</div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;                      k,</div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;                      outDistances,</div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;                      outIndices,</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;                      useHgemm,</div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;                      ignoreOutDistances);</div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;}</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;} } <span class="comment">// namespace</span></div>
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